Repository for Masharipov, Knyazeva, Korotkov, Cherednichenko & Kireev: "Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics"
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Updated
Sep 1, 2024 - Jupyter Notebook
Repository for Masharipov, Knyazeva, Korotkov, Cherednichenko & Kireev: "Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics"
Repository for Masharipov, Knyazeva, Korotkov, Cherednichenko & Kireev: "Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics"
A Transformer-based model for read-level DNA methylation pattern identification and tumour deconvolution
A Python package for Poisson joint likelihood deconvolution
Deconvolution of widefield microscopy images and generation of point spread functions
Napari plugin for custom analysis and visualization of lattice lightsheet and Oblique Plane Microscopy data. The plugin is optimized for data from the Zeiss lattice lightsheet microscope.
Sentinel-5P Single-Image Super-Resolution Toolbox
Toolkit for Liquid Argon TPC Simulation and Reconstruction
Official code for Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM
Calibrated inference of spiking from calcium ΔF/F data using deep networks
Python version of 3dPFM and 3dMEPFM
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Simulate and analyse surface probe small angle xray scattering experiments.
BOLD signal deconvolution based on ridge regression. Can be used to calculate psycho-physiological interaction (PPI) at the neuronal level. Python and MATLAB functions recover neuronal time series, similar to the Parametric Empirical Bayes (PEB) approach implemented in SPM12 (spm_peb_ppi.m).
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Snakemake pipeline for benchmarking cell-type deconvolution methods and deconvolving real bulk RNA-seq data with the use of scRNA-seq datasets
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